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Learner Reviews & Feedback for Intro to Time Series Analysis in R by Coursera Project Network

4.4
stars
242 ratings

About the Course

In this 2 hour long project-based course, you will learn the basics of time series analysis in R. By the end of this project, you will understand the essential theory for time series analysis and have built each of the major model types (Autoregressive, Moving Average, ARMA, ARIMA, and decomposition) on a real world data set to forecast the future. We will go over the essential packages and functions in R as well to make time series analysis easy....

Top reviews

MB

Aug 2, 2021

Excellent introduction to time series analysis. Several modules with clear explanations of the theory behind the models discussed and good discussion of the coding exercises.

FG

Oct 20, 2020

Exceptional! A background in basic statistics (hypothesis test and regression) . as well as a basic understanding of R is a nice-to-have. But not mandatory.

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51 - 54 of 54 Reviews for Intro to Time Series Analysis in R

By Manas D

•

Dec 19, 2022

This Guided project was too short

By MOUCI

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Jul 19, 2021

Unfortunately, I thought it should be less technical than what I saw in the introduction!

I need to cancel my enrollment and my subscription too!

By Angel O

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Jul 27, 2021

Technical errors from the programing tool don't allow me to code the exercises, awful experience and a waste of time.

By Indira -

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Jun 20, 2022

I had a lot of lagging issues with this project.